head to head · open source
Ollama vs lorax
Ollama has 181,161 GitHub stars, 17,917 forks, 3,957 open issues and last shipped yesterday. lorax has 3,832 stars, 324 forks, 189 open issues and last shipped 4 months ago. Ollama leads on adoption by 4,628% (181,161 vs 3,832 stars). Ollama is written in Go under MIT; lorax is written in Python under Apache-2.0. Ollama has attracted 10% as many forks as stars, lorax 8%. Ollama was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (llama, llm), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| Ollama | lorax | |
|---|---|---|
| GitHub stars | ★ 181K | ★ 3.8K |
| License | MIT | Apache-2.0 |
| Written in | Go | Python |
| Last push | 2026-09-17 | 2026-05-28 |
| Forks | ⑂ 18K | ⑂ 324 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Ollama if
- You weight community size — 181K stars and counting
- You want the MIT license terms
- Your stack matches Go
- You value the larger contributor base for long-term maintenance
pick lorax if
- You want the lorax feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and lorax fits your workflow better
About Ollama
Ollama is a Go based, MIT licensed runtime that downloads and runs open source large language models such as DeepSeek, Qwen, Gemma, GLM, MiniMax and gpt oss locally on a user's own machine, and it is aimed at developers and teams that want model inference without routing prompts through a hosted API.
read the full Ollama overview →
About lorax
LoRAX, short for LoRA eXchange, is an open source Python framework for serving many fine tuned large language models from a single GPU. It lives in machine learning infrastructure and uses base models with LoRA adapters. The base model is shared across requests, while task specific adapter weights are loaded dynamically for each request.
read the full lorax overview →
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Frequently asked questions
Is Ollama or lorax more popular?
Ollama has 181,161 GitHub stars and lorax has 3,832. Ollama has the larger community by that measure.
Are Ollama and lorax free?
Both are open source. Ollama is licensed under MIT and lorax under Apache-2.0. Neither carries a licence fee.
What is the difference between Ollama and lorax?
Ollama is written in Go and lorax in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Ollama or lorax?
Choose Ollama if you want the larger community (181,161 stars) or its MIT licence terms. Choose lorax if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.